How to Use the Together AI MCP in Claude

Q: Can I use this MCP Server for code generation with Together AI?

Yep. You can call textcompletion to generate boilerplate or even evaluate embeddings using the generateembeddings tool. The result is live data, not placeholder text.

Q: How do I manage different types of models using Together AI and Claude Desktop?

You can check what's available anytime by calling listavailablemodels. This keeps your agent updated on all the latest LLMs and services that Together AI offers.

Get live API data and run local scripts with Claude Desktop: Your MCP Server access point.

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Connect Together AI MCP to Claude Desktop

Create your Vinkius account to connect Together AI to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Together AI with Claude Desktop

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run code and interact with your filesystem.

This server's `chat_completion` tool lets you pass a model ID and a message array to run complex chats. You can then use the resulting context to generate real, working code that interacts directly with local files or databases. The Claude Desktop app supports running tools as subprocesses via stdio transport. This means your agent actually touches your local environment, whether it's reading from a file or pinging a localhost development server.

Generate unique images from text prompts.

Need an image for that presentation? The `generate_image` tool takes descriptive prompts and spits out visuals using Together AI models. It's fast, reliable, and bypasses needing a dedicated graphic design step. You just give it the prompt—like 'A neon-lit cyberpunk raccoon on a skateboard'—and you get the resulting image back into your chat thread.

Create custom AI models via fine-tuning.

The `create_finetune_job` tool lets you take an existing base model ID and pair it with a training file. This spins up a new, specialized LLM tailored exactly to your company's jargon or specific data set. You can then use the `list_finetune_jobs` tool later on to track progress or check the status of that job when it's ready.

Setup guide

Set up Together AI MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Together AI MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Together AI MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under together-ai-mcp.

json

{
  "mcpServers": {
    "together-ai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Together AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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Common questions about Together AI MCP in Claude Desktop

The MCP Server acts as a bridge. You plug its public URL into your settings, and the Claude Desktop app uses stdio transport to run the tool's logic locally on your machine. It lets your agent access services that wouldn't otherwise be visible.

Yep. You can call `text_completion` to generate boilerplate or even evaluate embeddings using the `generate_embeddings` tool. The result is live data, not placeholder text.

It primarily handles large language models' input and output data, specifically structured messages (JSON arrays) and raw strings used for generating embeddings or completions.

There are two paths. If you use the desktop app, it's a config file edit. For the web version (claude.ai), you just paste the remote MCP Server HTTPS URL into Settings → Integrations.

You can check what's available anytime by calling `list_available_models`. This keeps your agent updated on all the latest LLMs and services that Together AI offers.

Use it with your favorite AI tools

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